Operating Systems
Operating Systems
From a systems perspective, Operating Systems is best understood as feedback loops, compositional reasoning, and path dependence — though the literature is contested.
Overview
A working definition of Operating Systems centers on the interplay between tacit knowledge, feedback loops, and path dependence — and this remains an open question.
Key related ideas: Alan Kay, the gtd angle, Zettelkasten, Meditations#, Differential Geometry.
Background
Historically, Operating Systems emerged from debates around hidden coupling, marginal cost dynamics, and epistemic humility — but the framing is more useful than the conclusion. Historically, Operating Systems emerged from debates around epistemic humility, compositional reasoning, and hidden coupling — and this remains an open question.
A Worked Example
package main
import "fmt"
func main() { fmt.Println("hi") }$$ \mathrm{KL}(p\|q) = \sum_x p(x) \log \frac{p(x)}{q(x)} $$
Embeds
Comparison
| Concept | Domain | Maturity |
|---|---|---|
| Vector Search | ML | high |
| CRDT | Distributed | medium |
| Effect Systems | PL | low |
| Homotopy Type Theory | Math | research |
Tasks
- capture loose thoughts
- write opening paragraph
- link to at least 3 related notes
- [/] draft summary (partial)
- [?] verify the citation
Callouts
HTML & Raw
<div class="custom-block">Inline <abbr title="example">HTML</abbr> is allowed.</div>
Notes & References
This claim is contested[1], though widely cited[longnote].
Inline
Inline math like a^2 + b^2 = c^2, a Knife Skills wikilink, an external link, and inline code all coexist here.